Bit-rate control Method and device combined with rate-distortion optimization

ABSTRACT

In the invention, a rate distortion optimization (RDO) based rate control scheme is comprised of following two steps: first, does bit allocation for every frame in a GOP, and based on the allocated bits, a predicted quantization parameter is used to do the first rate distortion optimization mode selection for every macroblock in the current frame; second, the information of the current macroblock collected from the first rate distortion mode selection is used to calculate a final quantization parameter for rate control, and if the final quantization parameter is different from the predicted one, a second rate distortion mode selection will be executed again. A rate distortion optimization based rate control implementation includes following modules: a video coding encoder module(for example, H.264/JVT processing module), rate distortion optimization based macroblock mode selection and adaptive quantization module, virtual buffer, and global complexity estimation module. As RDO and rate control are considered together in the invention, the RDO based rate control scheme can achieve better coding performance while with accurate target bitrate control.

BACKGROUND OF THE INVENTION

Advanced video coding techniques are important for multimedia storage and transmission. For this reason, many video coding standards have been standardized. H.264 is the latest video coding standard. H.264/AVC standard jointly developed by ISO and ITU-T—Joint Video Team (JVT), also known as MPEG-4 Part 10 and H.264 in the H.26x serial standards, has substantially outperformed the previous video coding standards by utilizing a variety of temporal and spatial predictions. Rate control is an important technique although it does not belong to the normative part in video coding standards. However, without rate control any video coding scheme would be practically useless in many applications because the client buffer may often under-flow and over-flow when a channel used to deliver the compressed stream is of constant bandwidth. Therefore, every video coding standard has its own rate control technique, for example, TM5 for MPEG-2 and TMN8 for H.263.

RDO is one of important videocoding techniques. It is used to select optimal motion vectors an optimal coding mode for every macroblock. Yet the RDO used in H.264 test model makes it difficult to adopt the existing rate control techniques. Because rate control usually requires a pre-determined set of motion vectors and coding modes to select the quantization parameter, whereas RDO requires a pre-determined quantization parameter to select motion vectors and coding modes. On the other hand, as the complexity ratio between coded frame, the bit allocation model and adaptive quantization scheme should also be improved. The invention is a method and apparatus for rate distortion optimization based rate control. The invention can be used for video streaming, transmission, and storage coding.

SUMMARY OF THE INVENTION

The invention is to provide a method and apparatus of rate control for a video encoder, in which rate distortion optimization technique is used to improve coding efficiency.

As shown in FIG. 2, a rate distortion optimization based rate control implementation includes following modules: JVT processing module, rate distortion optimization based macroblock mode selection module, virtual buffer, and global complexity estimation module.

JVT processing module receives the input frame data, and it is connected with RDO mode selection module, virtual buffer module and global complexity estimation module;

RDO mode selection module is connected with virtual buffer and global complexity estimation module. It receives the input signal from JVT processing module, and processes it based on the virtual buffer module and global complexity module status. In the last, the output signal is sent back to JVT processing module, JVT module will output the final coded macroblock.

Before coding a GOP, does bit allocation for the pictures in the GOP with the average picture size; The average picture size is calculated as:

R/F=R÷F, here, R is the target bit rate. F is the picture rate. R/F is the average picture size.

The bit allocation adjustment in the coded GOP is shown as follows: $\begin{matrix} {T_{b} = {\max\quad\left\{ {\frac{R}{N_{b} + \frac{N_{p}K_{b}{Xp}}{K_{p}X_{b}}},\frac{{bit}\text{\_}{rate}}{8 \times {picture\_ rate}}} \right\}}} \\ {T_{p} = {\max\quad\left\{ {\frac{R}{N_{p} + \frac{N_{b}K_{p}X_{b}}{K_{b}X_{p}}},\frac{bit\_ rate}{8 \times {picture\_ rate}}} \right\}}} \\ {T_{i} = {\max\quad\left\{ {\frac{R}{1 + \frac{N_{p}X_{p}}{K_{p}X_{i}} + \frac{N_{b}X_{b}}{K_{b}X_{i}}},\frac{bit\_ rate}{8 \times {picture\_ rate}}} \right\}}} \end{matrix}$

here, T_(I), T_(p) and T_(b) is the bits allocated to the I, P or B frame respectively. N_(i), N_(p) and N_(b) is the remained none coded I, P or B frames in the GOP respectively. X_(i), X_(p) and X_(b) is the global complexity estimation for the I, P or B frame respectively and is defined as the multiplier between coded bits and average quantization parameter for the frame.

bit_rate is the target bit rate. picture rate is the frame rate.

K_(p) and K_(b) are constants. K_(p), K_(b) means the complexity ration between P, B frame and I frame respectively.

R is the remained bits for the GOP, and after coding a picture is updated as follows: R=R−S _(i,p,b)

S_(i,p,b) is the coded bits for the current frame.

-   Before coding a GOP, the remaining bits for the current GOP is     initialized as follows:     R=G+R _(prev)     G=bit _(—) rate×N÷picture _(—) rate -   here, R is the remained bits for the current GOP. -   N is the number of frames in current GOP. -   G is the number of bits for a GOP. -   R_(prev) is the remained bits for the previous GOP. For the first     GOP, R_(prev)=0.

X_(i), X_(p) and X_(b) are initialized as: X _(i) =a×bit _(—) rate X _(p) =b×bit _(—) rate X _(b) =c×bit _(—) rate

here a, b and c are constants.

bit_rate is the target bitrate.

Does the mode selection while using the quantization parameter of previous macroblock as a prediction value for the current macroblock. The mode minimizes the following expression is selected as the initial coding mode for the current macroblock: D(s,c,MODE|QP)+λ _(MODE) R(s,c,MODE|QP)

here, s is the luma value of the original macroblock. c is the luma value of the reconstructed macroblock. λ_(MODE) is the lagrangian constant.

For I/P frame, λ_(MODE)=0.85×2^(Q) ^(m-1) ^(/3);

For B frame, λ_(MODE=)4×0.85×2^(Q) ^(m-1) ^(/3).

D(s,c,MODE|QP) is used to evaluate the distortion of the current macroblock after it is coded.

R(s,c,MODE|QP) is the bits used to code the macroblock with mode MODE.

QP is the quantization parameter for current macroblock. for motion estimation in P or B frame, the motion vectors minimizes following expression are selected as the motion vectors for the current macroblock: J(m,λ _(MOTION))=SA(T)D(s,c(m))+λ_(MOTION) R(m−p)

-   here, D(s,c(m)) is used to evaluate the distortion from motion     compensation. -   SA (T) D is sum of the absolute difference (or after Hadmard     transform) for the macroblock. -   R(m−p) is the bits used to code the motion vector. -   s is the luma value of the current macroblock in the original frame. -   c is the luma value in reference picture. -   m is the motion vector. -   p is the predicted motion vector. -   λ_(MOTION) is the lagrangian constant and λ_(MOTION)=√{square root     over (λ_(MODE))}. -   λ_(MODE) is the lagrangian constant.

After the first rate distortion mode selection, the output of RDO mode selection module is sent to JVT processing module. A new quantization parameter will be calculated by the JVT processing module. The quantization parameter is adjusted according to macroblock activity.

After first rate distortion mode selection, the sum of the absolute difference is used as the macroblock activity estimation. The macroblock activity is calculated as: ${act}_{m} = {{\sum\limits_{i,j}{{{{s\left( {i,j} \right)} - {c\left( {i,j} \right)}}}\quad{N\_{ac}t}_{m}}} = \frac{\left( {2 \times {act}_{j}} \right) + {avg\_ act}}{{act}_{j} + \left( {2 \times {avg\_ act}} \right)}}$ here, i is the horizontal position of the pixel in the current macroblock. j is the vertical position of the pixel in the current macroblock. N_act_(m) is the activity of the current macroblock. s(i,j) is the luma value of the original pixel(i,j), c(i,j) is the prediction value of pixel(i,j). avg_act is the average act, in the previous coded picture which is coded with the same type as current picture. act_(m) is the sum of the absolute difference after motion compensation or intra prediction.

When coding the first frame, the virtual buffer occupancy is initialized with: d ₀ ^(i)=10×r/31 d ₀ ^(P) =K _(p) ×d ₀ ^(i) d ₀ ^(b) =K _(b) ×d ₀ ^(i)

here r is the virtual buffer size; d₀ ^(i), d₀ ^(p), and d₀ ^(b) is the initial virtual buffer occupancy for i, p, or b frame. K_(p) is the complexity ration between I, P frame; K_(b) is the complexity ratio between I,B frame.

The RDO based rate control also includes a second RDO mode selection, after quantization parameter decision for the current macroblock. That is to say, the decided quantization parameter for the current macroblock will be used to RDO mode selection again. The mode which minimizes the following expression will be selected as coding mode for the current macroblock:

here, s is the luma value of the original macroblock. c is the luma value of the reconstructed macroblock. λ_(MODE) is the lagrangian constant.

For I/P frame, λ_(MODE)=0.85×2^(Q) ^(m-1) ^(/3);

For B frame, λ_(MODE)=4×0.85×2^(Q) ^(m-1) ^(/3).

D(s,c,MODE|QP) is used to evaluate the distortion of the current macroblock after it is coded.

R(s,c,MODE|QP) is the bits used to code the macroblock with mode MODE.

QP is the quantization parameter for current macroblock.

Quantization parameter from JVT processing module is sent back to JVT processing module, the macroblock is coded by JVT processing module and output.

Based on above modules, the drawbacks of traditional rate control schemes are removed. As RDO and rate control are considered together, the RDO based video coding can reach accurate target bitrate control while with good performance. 

1, the characteristics of the RDO based rate control scheme include: Step 1: Does bit allocation for every picture in a GOP, and based on the allocated bits a predicted quantization parameter is used to do rate distortion optimization mode selection for every macroblock in the current picture; Step 2: The information collected from the first rate distortion mode selection is used to calculate a final quantization parameter for rate control, and if the final quantization parameter is different from the predicted, a second rate distortion mode selection will be executed again. 2, as claim 1 has said, in step 1, before coding a GOP, does bit allocation for the pictures in the GOP with the average picture size; 3, as claim 2 has said, the average picture size is calculated as: R/F=R÷F, here, R is the target bit rate. F is the picture rate. R/F is the average picture size. 4, as claim 1 and claim 2 have said, does bit allocation adjustment in the coded GOP. The adjustment is implemented as follows: $\begin{matrix} {T_{i} = {\max\quad\left\{ {\frac{R}{1 + \frac{{N_{p}}_{\quad}X_{p}}{K_{p}X_{i}} + \frac{N_{b}X_{b}}{K_{b}X_{i}}},\frac{{bit}\text{\_}{rate}}{8 \times {picture\_ rate}}} \right\}}} \\ {T_{p} = {\max\quad\left\{ {\frac{R}{N_{p} + \frac{N_{b}K_{p}X_{b}}{K_{b}X_{p}}},\frac{bit\_ rate}{8 \times {picture\_ rate}}} \right\}}} \\ {T_{b} = {\max\quad\left\{ {\frac{R}{N_{b} + \frac{N_{p}K_{b}X_{p}}{K_{p}X_{b}}},\frac{bit\_ rate}{8 \times {picture\_ rate}}} \right\}}} \end{matrix}$ here, T_(I), T_(p) and T_(b) is the bits allocated to the I, P or B frame respectively. N_(i), N_(p) and N_(b) is the remained none coded I, P or B frames in the GOP respectively. X_(i), X_(p) and X_(b) is the global complexity estimation for the I, P or B frame respectively and is defined as the multiplier between coded bits and average quantization parameter for the frame. bit_rate is the target bit rate. picture_rate is the frame rate. K_(p) and K_(b) are constants. K_(p), K_(b) means the complexity ratio between P, B frame and I frame respectively. R is the remained bits for the GOP, and after coding a picture it is updated as follows: R=R−S _(i,p,b) S_(i,p,b) is the coded bits for the current frame. 5, as claim 4 has said, before coding a GOP, the remaining bits for the current GOP is initialized as follows: R=G+R _(prev) G=bit _(—) rate×N+picture _(—) rate here, R is the remained bits for the current GOP. N is the number of frames in the current GOP. G is the number of bits for a GOP. R_(prev) is the remained bits for the previous GOP. For the first GOP, R_(prev)=0. 6, as claim 4 has said, X_(I), X_(p) and X_(b) are initialized as: X _(i) =a×bit _(—) rate X _(p) =b×bit_rate X _(b) =c×bit _(—) rate here a, b and c are constants. bit_rate is the target bitrate. 7, as claim 1 has said, the step 1 also includes at least one time rate distortion optimization based mode selection with a predicted quantization parameter. The predicted quantization parameter may be the quantization parameter of the previous macroblock or decided by rate distortion model in a rate control scheme. The mode minimizing the following expression is selected as the initial coding mode for the current macroblock: D(s,c,MODE|QP)+λ_(MODE) R(s,c,MODE|QP) here, s is the luma value of the original macroblock. c is the luma value of the reconstructed macroblock. λ_(MODE) is the lagrangian constant. For I/P frame, λ_(MODE)=0.85×2^(Q) ^(m-1) ^(/3); For B frame, λ_(MODE)=4×0.85×2^(Q) ^(m-1) ^(/3). D(s,c,MODE|QP) is used to evaluate the distortion of the current macroblock after it is coded with mode MODE. R(s,c,MODE|QP) is the bits used to code the macroblock with mode MODE. QP is the quantization parameter for the current macroblock. 8, as claim 7 has said, for motion estimation in P or B frame, the motion vector minimizing following expression is selected as the motion vector for the current macroblock: J(m,λ _(MOTION))=SA(T)D(s,c(m))+λ_(MOTION) R(−p) here, D(s,c(m)) is used to evaluate the distortion from motion compensation. SA (T) D is the sum of the absolute difference after prediction (or after Hadmard transform) for the macroblock. R(m−p) is the bits used to code the motion vector. s is the luma value of the current macroblock in the original frame. c is the luma value in reference picture. m is the motion vector. p is the predicted motion vector. λ_(MOTION) is the lagrangian constant and λ_(MOTION)=√{square root over (λ_(MODE))}. λ_(MODE) is the lagrangian constant. 9, as claim 2 has said, after the first rate distortion mode selection, the RDO based rate control further includes: calculating quantization parameter for the current macroblock. The quantization parameter is adjusted according to the macroblock activity and buffer status. 10, as claim 9 has said, the quantization parameter for the macroblock is adjusted according to the macroblock activity. After the first rate distortion mode selection, the sum of the absolute difference is used as the macroblock activity estimation. The macroblock activity is calculated as: ${act}_{m} = {{\sum\limits_{i,j}{{{{s\left( {i,j} \right)} - {c\left( {i,j} \right)}}}\quad{N\_{ac}t}_{m}}} = \frac{\left( {2 \times {act}_{j}} \right) + {avg\_ act}}{{act}_{j} + \left( {2 \times {avg\_ act}} \right)}}$ here, i is the horizontal position of the pixel in the current macroblock. j is the vertical position of the pixel in the current macroblock. N_act_(m) is the activity of the current macroblock. s(i,j) is the luma value of the original pixel(i,j), c(i,j) is the prediction value of pixel(i,j). avg_act is the average act_(m) in the previous coded picture which is coded with the same type as current picture. act_(m) is the sum of the absolute difference after motion compensation or intra prediction. 11, as claim 9 has said, a virtual buffer is used to do rate control. First set up the mapping from the virtual buffer occupancy to macroblock quantization parameter, and the final macroblock quantization parameter is calculated as: $Q_{m} = {\left( \frac{d_{m}^{n} \times 31}{r} \right) \times {N\_{ac}t}_{m}}$ d_(m)^(n) = d₀^(n) + B_(m − 1) − T_(n) × (m − 1)/MB_CNT r = 2 × bit_rate/picture_rate here, Q_(m) is the quantization parameter of current macroblock. d_(m) ^(n) is the current buffer occupancy, and it equals d_(m) ^(I),d_(m) ^(p), and d_(m) ^(b) for I, P, B frame respectively. B_(m-1) is the bits used to code previous macroblock. d₀ ^(n) is the initial buffer occupancy for current frame. n is i,p or b, corresponding to d₀ ^(i),d₀ ^(p), and d₀ ^(b). r is the size of virtual buffer. 12, as claim 11 said, when coding the first frame, the virtual buffer occupancy is initialized with: d ₀ ^(b) =K _(b) ×d ₀ ^(i) d ₀ ^(i)=10×r/31 d ₀ ^(p) =K _(p) ×d ₀ ^(i) here r is the virtual buffer size; d₀ ^(i),d₀ ^(p), and d₀ ^(b) is the initial virtual buffer occupancy for i, p, or b frame. K_(p) is the complexity ratio between I, P frame; K_(b) is the complexity ratio between I, B frame. 13, as claim 2, 9, 10, 11 and 12 have said, the RDO based rate control also includes a second RDO mode selection, after calculating the final quantization parameter for the current macroblock. That is to say, the selected quantization parameter for the current macroblock will be used to do RDO mode selection again. The mode which minimizes the following expression will be selected as the coding mode for the current macroblock: D(s,c,MODE|QP)+λ_(MODE) R(s,c,MODE|QP) here, s is the luma value of the original macroblock. c is the luma value of the reconstructed macroblock. λ_(MODE) is the lagrangian constant. For I/P frame, λ_(MODE)=0.85×2^(Q) ^(m-1) ^(/3); For B frame, λ_(MODE)=4×0.85×2^(Q) ^(m-1) ^(/3). D(s,c,MODE|QP) is used to evaluate the distortion of the current macroblock coded with mode MODE. R(s,c,MODE|QP) is the bits used to code the macroblock with mode MODE. QP is the quantization parameter for the current macroblock. 14, as claim 13 has said, for motion estimation in P or B frame, the motion vector minimizing following expression is selected for the current macroblock: J(m,λ _(MOTION))=SA(T)D(s,c(m))+λ_(MOTION) R(m−p) here, D(s,c(m)) is used to evaluate the distortion from motion compensation. SA (T) D is the sum of the absolute difference (or after Hadmard transform) for the macroblock. R(m−p) is the bits used to code the motion vector. s is the luma value of the current macroblock in the original frame. c is the luma value in reference picture. m is the motion vector. p is the predicted motion vector. λ_(MOTION) is the lagrangian constant and λ_(MOTION)=√{square root over (λ_(MODE))}. λ_(MODE) is the lagrangian constant. 15, a rate distortion optimization based rate control implementation includes following modules: a video coding encoder module (for example, H.264 encoder module or JVT processing module), rate distortion optimization mode selection and adaptive quantization module, virtual buffer, and global complexity estimation module; here, JVT processing module receives the input frame, and it is connected with RDO mode selection module, virtual buffer module and global complexity estimation module. RDO mode selection module and adaptive quantization is connected with virtual buffer and global complexity estimation module. It receives the input signal from JVT processing module, and processes it based on the virtual buffer module and global complexity module status, and then calculate the quantization parameter for the macroblock. In the last, JVT processing module will output the final coded macroblock with the calculated parameter. 16, as claim 15 has said, before coding a GOP, does bit allocation for the pictures in the GOP with the average picture size; 17, as claim 16 said, the average picture size is calculated as: R/F=R÷F, here, R is the target bit rate. F is the picture rate. R/F is the average picture size. 18, as claim 16 and 17 have said, does bit allocation adjustment in the GOP. The adjustment is shown as follows: $\begin{matrix} {T_{i} = {\max\quad\left\{ {\frac{R}{1 + \frac{{N_{p}}_{\quad}X_{p}}{K_{p}X_{i}} + \frac{N_{b}X_{b}}{K_{b}X_{i}}},\frac{{bit}\text{\_}{rate}}{8 \times {picture\_ rate}}} \right\}}} \\ {T_{b} = {\max\quad\left\{ {\frac{R}{N_{b} + \frac{N_{p}K_{b}{Xp}}{K_{p}X_{b}}},\frac{bit\_ rate}{8 \times {picture\_ rate}}} \right\}}} \\ {T_{p} = {\max\quad\left\{ {\frac{R}{N_{p} + \frac{N_{b}K_{p}X_{b}}{K_{b}X_{p}}},\frac{bit\_ rate}{8 \times {picture\_ rate}}} \right\}}} \end{matrix}$ here, T_(I), T_(p) and T_(b) is the bits allocated tho the I, P or B frame respectively. N_(i), N_(p) and N_(b) is the remained none coded I, P or B frames in the GOP respectively. X_(i), X_(p) and X_(b) is the global complexity estimation for the I, P or B frame respectively and is defined as the multiplier between the coded bits and average quantization parameter for the frame. bit_rate is the target bit rate. picture_rate is the frame rate. K_(p) and K_(b) are constants. K_(p), K_(b) means the complexity ratio between P,B frame and I frame respectively. R is the remained bits for the GOP, and after coding a picture it is updated as follows: R=R−S _(i,p,b) S_(i,p,b) is the coded bits for the current frame. 19, as claim 18 has said, before coding a GOP, the remaining bits for the current GOP is initialized as follows: R=G+R _(prev) G=bit _(—) rate×N÷picture_rate here, R is the remained bits for the current GOP. N is the number of frames in current GOP. G is the number of bits for a GOP. R_(prev) is the remained bits for the previous GOP. For the first GOP, R_(prev)=0. 20, as claim 18 said, X_(i), X_(p) and X_(b) are initialized as: X _(i) =a×bit _(—) rate X _(p) =b×bit _(—) rate X _(b) =c×bit _(—) rate here a, b and c are constants. bit_rate is the target bitrate. 21, as claim 15 said, does the mode selection while using the quantization parameter of previous macroblock as a prediction value for the current macroblock. The mode minimizing the following expression is selected as the initial coding mode for the current macroblock: D(s,c,MODE|QP)+λ_(MODE) R(s,c,MODE|QP) here, s is the luma value of the original macroblock. c is the luma value of the reconstructed macroblock. λ_(MODE) is the lagrangian constant. For I/P frame, λ_(MODE)=0.85×2^(Q) ^(m-1) ^(/3); For B frame, λ_(MODE)=4×0.85×2^(q) ^(m-1) ^(/3). D(s,c,MODE|QP) is used to evaluate the distortion of the current macroblock coded with mode MODE. R(s,c,MODE|QP) is the bits used to code the macroblock with mode MODE. QP is the quantization parameter for the current macroblock. 22, as claim 21 has said, for motion estimation in P or B frame, the motion vector minimizing following expression is selected for the current macroblock: J(m,λ _(MOTION))=SA(T)D(s,c(m))+λ_(MOTION) R(m−p) here, D(s,c(m)) is used to evaluate the distortion from motion compensation. SA (T) D is sum of the absolute difference (or after Hadmard transform) for the macroblock. R(m−p) is the bits used to code the motion vector. s is the luma value of the current macroblock in the original frame. c is the luma value in reference picture. m is the motion vector. p is the predicted motion vector. λ_(MOTION) is the lagrangian constant and λ_(MOTION)=√{square root over (λ_(MODE))}. λ_(MODE) is the lagrangian constant. 23, as claim 22 has said, after the first rate distortion mode selection, the rate control scheme further includes: Calculating a new quantization parameter and adjusting it according to the macroblock activity and buffer status. 24, as claim 22 said, for adjusting quantization parameter for the current macroblock. the sum of the absolute difference is used as the macroblock activity estimation after first rate distortion mode selection. The macroblock activity is calculated as: ${act}_{m} = {{\sum\limits_{i,j}{{{{s\left( {i,j} \right)} - {c\left( {i,j} \right)}}}\quad{N\_{ac}t}_{m}}} = \frac{\left( {2 \times {act}_{j}} \right) + {avg\_ act}}{{act}_{j} + \left( {2 \times {avg\_ act}} \right)}}$ here, i is the horizontal position of the pixel in the current macroblock. j is the vertical position of the pixel in the current macroblock. N_act_(m) is the activity of the current macroblock. s(i,j) is the luma value of the original pixel(i,j), c(i,j) is the prediction value of pixel(i,j). avg_act is the average act_(m) in the previous coded picture which is coded with the same type as current picture. act_(m) is the sum of the absolute difference after motion compensation or intra prediction. 25, as claim 22 has said, a virtual buffer is used to do rate control. First set up the mapping from the virtual buffer occupancy to macroblock quantization parameter. The macroblock quantization parameter is calculated as: $Q_{m} = {\left( \frac{d_{m}^{n} \times 31}{r} \right) \times {N\_{ac}t}_{m}}$ r = 2 × bit_rate/picture_rate d_(m)^(n) = d₀^(n) + B_(m − 1) − T_(n) × (m − 1)/MB_CNT here, Q_(m) is the quantization parameter of current macroblock. d_(m) ^(n) is the current buffer occupancy, and it equals d_(m) ^(I),d_(m) ^(p), and d_(m) ^(b) for I, P, B frame respectively. B_(m-1) is the bits used to code previous macroblock. d₀ ^(n) is the initial buffer occupancy for current frame. n is i,p or b, corresponding to d₀ ^(i),d₀ ^(p), and r is the size of virtual buffer occupancy. 26, as claim 25 said, when coding the first frame, the virtual buffer occupancy is initialized with: d ₀ ^(i)=10×r/31 d ₀ ^(p) =K _(p) ×d ₀ ^(i) d₀ ^(b) =K _(b) ×d ₀ ^(i) here r is the virtual buffer size; d₀ ^(i),d₀ ^(p), and d₀ ^(b) is the initial virtual buffer occupancy for i, p, or b frame. K_(p) is the complexity ratio between I, P frame; K_(b) is the complexity ratio between I,B frame. 27, as claim 23, 24, 25, 26 have said, the RDO based rate control also includes a second RDO mode selection, after quantization parameter decision for the current macroblock. That is to say, the decided quantization parameter for the current macroblock will be used to do RDO mode selection again. The mode which minimizes the following expression will be selected as coding mode for the current macroblock: D(s,c,MODE|QP)+λ_(MODE) R(s,c,MODE|QP) here, s is the luma value of the original macroblock. c is the luma value of the reconstructed macroblock. λ_(MODE) is the lagrangian constant. For I/P frame, λ_(MODE)=0.85×2^(Q) ^(m-1) ^(/3); For B frame, λ_(MODE)=4×0.85×2^(Q) ^(m-1) ^(/3). D(s,c,MODE|QP) is used to evaluate the distortion of the current macroblock after it is coded. R(s,c,MODE|QP) is the bits used to code the macroblock with mode MODE. QP is the quantization parameter for current macroblock. 28, as claim 27 said, for motion estimation in P or B frame, the motion vectors minimizes following expression are selected as the motion vectors for the current macroblock: J(m,λ _(MOTION))=SA(T)D(s,c(m))+λ_(MOTION) R(m−p) here, D(s,c(m)) is used to evaluate the distortion from motion compensation. SA (T) D is sum of the absolute difference (or after Hadmard transform) for the macroblock. R(m−p) is the bits used to code the motion vector. s is the luma value of the current macroblock in the original frame. c is the luma value in reference picture. m is the motion vector. p is the predicted motion vector. λ_(MOTION) is the lagrangian constant and λ_(MOTION)=√{square root over (λ_(MODE))}. λ_(MODE) is the lagrangian constant. 29, as claim 28 said, quantization parameter from RDO and adaptive quantization module is sent back to JVT processing module, the macroblock is coded by JVT processing module and output. 